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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration Patterns and Strategy | 20% | - Identify the appropriate integration pattern needed for a given scenario
|
| Topic 2: Integration Architecture | 24% | - Integration governance and monitoring
|
| Topic 3: Secure Integration and Data Integration | 25% | - Implement secure integration solutions
|
| Topic 4: Integration Solutions Use Cases and Design | 31% | - Design integration solutions using APIs
|
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NEW QUESTION # 27
Northern Trail Outfitters leverages Sales Cloud. When an opportunity has changed its status to "Closed/Won" and there are products attached, the details should be passed to the OMS for fulfillment operations. The callout from Salesforce to the OMS should be synchronous. What should an integration architect do to satisfy these requirements?
Answer: B
Explanation:
A synchronous requirement in Salesforce implies a Request-Reply pattern where the user waits for a response. To implement this correctly while adhering to platform constraints, the architect must initiate the callout from the User Interface (UI) layer.3 Option C is the correct architectural choice. By using a Lightning component and a button (or a Quick Act4ion), the callout is initiated directly from the user's session. The component calls an Apex controller, which performs the synchronous REST callout to the OMS. This allows the user to receive immediate feedback-such as a "Success" message or an "Error" notification from the OMS-directly on the Opportunity page.
Option A is incorrect because Apex Triggers are prohibited from making synchronous callouts. If a trigger initiates a callout, it must be asynchronous (using @future or Queueable Apex), which violates the business requirement for synchronicity. Making a synchronous call from a trigger would block the database transaction and could lead to "Uncommitted Work Pending" errors or system timeouts. Option B (Batch Apex) is inherently asynchronous and delayed; an hourly job would not provide the real-time, synchronous feedback required during the "Closed/Won" transition. Therefore, moving the integration logic to a UI-driven button is the only way to satisfy the synchronous requirement while staying within Salesforce's execution and transaction limits.
NEW QUESTION # 28
business requires automating the check and update of the phone number type classification (mobile vs. landline) for all in-coming calls delivered to their phone sales agents. The following conditions exist:
1. At peak, their call center can receive up to100,000 calls per day.
2. The phone number type classification is a service provided by an external serviceAPI.
3. Business is flexible with timing and frequency to check and update the records (throughout the night or every 6-12 hours is sufficient).
ARemote-Call-In pattern and/or Batch Synchronization (Replication via ETL: System -> Salesforce) are determinedto work with a middleware hosted on custom premise.
In order to implement these patterns and mechanisms, which component should an integration architect recommend?
Answer: C
Explanation:
A Connected App is a framework that enables an external application to integrate with Salesforce using APIs and standard protocols, such as OAuth. By configuring a Connected App in Salesforce, the integration can authenticate the middleware and grant access to the Salesforce data and services. This is a secure and flexible solution that does not require configuring Remote Site Settings, API Gateway, or Firewall and reverse proxy2 References: 1: BatchApexErrorEvent 2: Connected Apps
NEW QUESTION # 29
The sales Operations team at Northern Trail Outfitters imports new leads each day. An integrated legacy territory management system assigns territories toleads before Sales team members can work on them. The current integration often experiences latency issues.
Which two recommendations should an Architect make to improve the integration performance?
Choose 2 answers
Answer: A,D
Explanation:
Reducing the batch size of asynchronous BULK API and submitting the legacy system in parallel mode are two recommendations that can improve the integration performance. The BULK API is designed to handle large-scale data loads, but it can also cause latency issues if the batch size is too large or the network bandwidth is insufficient. Reducing the batch size can help to avoid timeouts and improve throughput.
Submitting the legacy system in parallel mode can also speed up the integration process by allowing multiple batches to be processed concurrently, as long as there are no dependencies or conflicts between them.
Reference: Salesforce Integration Architecture Designer Resource Guide, page 21
NEW QUESTION # 30
A company's cloud-based single page application consolidates data local to the application with data from on premise and 3rd party systems. The diagram below typifies the application's combined use of synchronous and asynchronous calls.
The company wants to use the average response time of its application's user interface as a basis for certain alerts. For this purpose, the following occurs:
1. Log every call's start and finish date and time to a central analytics data store.
2. Compute response time uniformly as the difference between the start and finish date and time - A to H in the diagram.
Which computation represents the end-to-end response time from the user's perspective?
Answer: A
Explanation:
Explanation
The end-to-end response time from the user's perspective is the time elapsed between the user's request and the user's receipt of the final response. In the diagram, this corresponds to the sum of A and H, which are the durations of the synchronous calls from the user interface to the cloud-based application and back. The other durations (B to G) are either internal to the cloud-based application or asynchronous calls that do not affect the user's perception of response time. Therefore, the correct answer is D, because it represents the sum of A and
H.
NEW QUESTION # 31
A customer of Salesforce has used Platform Events to integrate their Salesforce instance with an external third-party Artificial Intelligence (AI) system. The AI system provides a prediction score for each lead that is received by Salesforce. Once the prediction score is received, the lead information is saved to Platform events for other processes. The trigger on the Platform Events is failing once this was rolled out to Production.
What type of monitoring should the IntegrationConsultant have considered to monitor this integration?
Answer: B
Explanation:
The integration consultant should have considered monitoring the Platform Events created per hour limits across the Salesforce instance. This is because Platform Events have a limit on the number of events that can be published or delivered per hour, depending on the edition and license type. If this limit is exceeded, the trigger on the Platform Events may fail or be delayed. Option B is not correct because debug logs for Platform Event triggers are not useful for monitoring performance. Debug logs are used for troubleshooting issues or errors in the trigger logic, not for measuring the throughput or latency of the events. Option C is not correct because validating the Platform Event definition matches leads definition is not a monitoring task, but a design task. The integration consultant should have ensured that the Platform Event definition matches leads definition before deploying the integration to production. Option D is not correct because monitoring the volume of leads that are created in Salesforce is not relevant for this integration. The volume of leads does not affect the trigger on the Platform Events, as long as the Platform Events created per hourlimits are not exceeded.
NEW QUESTION # 32
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